Data Science, Machine Learning, Python, Sql, Ai, Statistical Modeling, Cloud Data Platforms, Analytics

Code Review, Azure, Python, Production ML and model deployment, AI-assisted coding workflows and coding agents such as Codex, Technical mentorship and communication, Forecasting, Generative AI, Reusable package design, Optimization, Applied statistics modeling and rigorous evaluation, Production-quality code testing, Open-source contribution and reusable package development, experimentation, Data pipelines, Databricks environments

Sql, Deep Learning, Machine Learning, Predictive Modeling, Python, Site experimentation, Statistical methods, Ensemble models, R, Inferential analysis, experimentation, Transformer-based methods

Tensorflow, Machine Learning, Pytorch, Pyspark, Sklearn, Python, Time Series Forecasting

Machine Learning, scrapy, Sql, Nosql, Pandas, Gcp, Numpy, Spark, Azure, Python, AWS, scikit-learn, Ai, Analytics, R, BERT

Data Lineage, Machine Learning, Datadog, Agile, Scrum, Generative AI, Compliance, LLM Evaluation Methods, Model APIs, Auditability, Arize, Subject Matter Expert Annotation Workflows, Deterministic Evaluations, Online Evaluations, Responsible AI Practices, Bias Evaluation, Kubeflow, Prompt Engineering

Machine Learning, Distributed Systems, Tensorflow, Pytorch, Predictive Analytics, Python, Big Data, Clustering, Deep Learning, MLops, Spark, GenAI, Telemetry Analytics, Data Pipelines, Random Forests, MLflow, Vector Databases, Time-Series Forecasting, AIOps, LLMs, Production AI Systems, anomaly detection, Cloud Data Architecture, Statistical Modeling

containerization , Azure ML, MLops, Python, Azure DevOps, Data Science, Machine Learning, Incident Response, LangGraph, Azure OpenAI Service, AKS, CI CD, Observability, Monitoring, Generative AI, ML Platform Reliability